US9476961B2 - Method and apparatus for correcting impedance measured by sensor included in wearable device - Google Patents

Method and apparatus for correcting impedance measured by sensor included in wearable device Download PDF

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US9476961B2
US9476961B2 US14/665,766 US201514665766A US9476961B2 US 9476961 B2 US9476961 B2 US 9476961B2 US 201514665766 A US201514665766 A US 201514665766A US 9476961 B2 US9476961 B2 US 9476961B2
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Prior art keywords
straight line
line connecting
wearable device
elbow joint
impedance
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US20160054423A1 (en
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Jaemin KANG
Sangyun PARK
Hyoyoung JEONG
Seongho CHO
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Samsung Electronics Co Ltd
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Samsung Electronics Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
    • G01R35/005—Calibrating; Standards or reference devices, e.g. voltage or resistance standards, "golden" references
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16—Constructional details or arrangements
    • G06F1/1613—Constructional details or arrangements for portable computers
    • G06F1/163—Wearable computers, e.g. on a belt
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/053—Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0537—Measuring body composition by impedance, e.g. tissue hydration or fat content
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4869—Determining body composition
    • A61B5/4872—Body fat
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/0304—Detection arrangements using opto-electronic means
    • G06T7/0042—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person

Definitions

  • Apparatuses and methods consistent with exemplary embodiments relate to methods and apparatuses for correcting an impedance measured by a sensor included in a wearable device.
  • a smart watch generally refers to a wrist watch that has advanced functions compared to a traditional watch.
  • Smart glasses generally refer to a wearable computer mounted with a head-mounted display (HMD).
  • HMD head-mounted display
  • a wearable device may be classified into an independent device or a companion device.
  • An independent device may include an input/output unit, an arithmetic Logic Unit (ALU), a storage unit, and a communication unit, and may be employed independently.
  • a companion device refers to a device that may be used when a connection is established to a separate device such as a smartphone.
  • wearable device Since a wearable device is worn by a user on his/her body, the wearable device may also obtain a biometric signal from the user's body. Accordingly, wearable devices including various sensors have been developed.
  • Exemplary embodiments provide methods and apparatuses for correcting an impedance measured by a sensor included in a wearable device, and a non-transitory computer-readable recording storage medium having stored thereon a computer program, which when executed by a computer, performs the methods.
  • a method of correcting an impedance measured by a sensor included in a wearable device including: measuring, from an image including the wearable device and arms of a user, by the wearable device, a first angle between a straight line connecting a left elbow joint of the user and a camera device for photographing the image and a straight line connecting the left elbow joint and the wearable device, a second angle between a straight line connecting the left elbow joint and the wearable device and a straight line connecting the wearable device and a right elbow joint of the user, a third angle between a straight line connecting the right elbow joint and the wearable device and a straight line connecting the right elbow joint and the camera device, and a fourth angle between a straight line connecting the right elbow joint and the camera device and a straight line connecting the left elbow joint and the camera device; measuring, by the sensor, the impedance of the user in response to the sensor being in contact with the user; determining, by the wearable device, a variation rate of the im
  • the determining may include determining the variation rate of the impedance based on a predetermined variation rate of the impedance which corresponds to the first, second, third, and fourth angles.
  • the determining may further include: photographing a moving picture including the wearable device and the arms of the user, while one hand of the user is in contact with the wearable device and the arms are moving; consecutively measuring impedance of the user by using the sensor, while photographing the moving picture; measuring a fifth angle between a straight line connecting the left elbow joint of the user and the camera device and a straight line connecting the left elbow joint and the wearable device, a sixth angle between a straight line connecting the left elbow joint and the wearable device and a straight line connecting the wearable device and the right elbow joint of the user, a seventh angle between a straight line connecting the right elbow joint and the wearable device and a straight line connecting the right elbow joint and the camera device, and an eighth angle between a straight line connecting the right elbow joint and the device for photographing the image and a straight line connecting the left elbow joint and the camera device based on the moving picture; and setting a variation rate of the impedance in correspondence with the fifth, sixth, seventh, and eight angles, by using the impedance which corresponds to
  • the consecutively measuring the impedance may include repeatedly measuring the impedance at a predetermined time period.
  • the determining may include determining the variation rate of the impedance based on a predetermined relation between at least one of the first, second, third, and fourth angles and the variation rate of the impedance.
  • the correcting may include measuring a body fat of the user based on the corrected impedance.
  • the wearable device may be a smart watch, and the image may be photographed by the camera device equipped with smart glasses.
  • the method may further include photographing the image while the smart watch is in contact with one hand of the user.
  • the method may further include photographing the image based on an input signal from the user.
  • the method may further include adjusting the variation rate based on quality of a contact between the sensor and the user.
  • an apparatus including: an processor for measuring a first angle between a straight line connecting a left elbow joint of the user and a camera device for photographing the image and a straight line connecting the left elbow joint and the wearable device, a second angle between a straight line connecting the left elbow joint and the wearable device and a straight line connecting the wearable device and a right elbow joint of the user, a third angle between a straight line connecting the right elbow joint and the wearable device and a straight line connecting the right elbow joint and the camera device, and a fourth angle between a straight line connecting the right elbow joint and the camera device and a straight line connecting the left elbow joint and the camera device; a sensor configured to measure an impedance of the user in response to the sensor being in contact with the user; and a controller configured to determine a variation rate of the impedance based on at least one of the first, second, third, and fourth angles, and correct the impedance based on the determined variation rate of the impedance.
  • the apparatus may further include the camera device configured to photograph the image including the wearable device and the arms of the user.
  • the controller may determine the variation rate of the impedance based on a predetermined variation rate of the impedance which respectively corresponds to the first, second, third, and fourth angles.
  • the camera device may photograph a moving picture including the wearable device and the arms of the user while one hand of the user is in contact with the wearable device and the arms of the user are moving
  • the sensor may consecutively measure impedance of the user
  • the processor may measure a fifth angle between a straight line connecting a left elbow joint of the user and the camera device and a straight line connecting the left elbow joint and the wearable device, a sixth angle between a straight line connecting the left elbow joint and the wearable device and a straight line connecting the wearable device and a right elbow joint of the user, a seventh angle between a straight line connecting the right elbow joint and the wearable device and a straight line connecting the right elbow joint and the camera device, and an eighth angle between a straight line connecting the right elbow joint and the camera device and a straight line connecting the left elbow joint and the camera device based on the moving picture
  • the controller may set a variation rate of the impedance in correspondence with the fifth, sixth, seventh, and eighth measured angles based on the impedance corresponding
  • the sensor may repeatedly measure the impedances at a predetermined time period.
  • the controller may determine a variation rate of the impedance based on a predetermined relation between at least one of the first, second, third, and fourth angles and the variation rate of the impedance.
  • the controller may measure the body fat of the user based on the corrected impedance.
  • the apparatus may further include smart glasses in which the camera device is implemented, wherein the processor, the sensor, and the controller may be implemented in a smart watch, and the smart glasses may wirelessly communicate with the smart watch.
  • the camera device may photograph the image while the user is in contact with a hand of the user.
  • the camera device may photograph the image based on an input signal from the user.
  • a wearable device of measuring a body fat including: a sensor or configured to measure an impedance of a user in response the sensor being in contact with a wrist of the user; a processor configured to measure, from an image including the wrist and the wearable device, a wrist tilt angle that the wrist is tilted sideways; and a controller configured to determine a variation rate of the impedance based on the wrist tilt angle.
  • the sensor may be further configured to detect a contact area that the wearable device and the wrist are in contact with each other and generate information indicating quality of contact based on the detected contact area, and the controller may be further configured to adjust the determined variation rate based on the information generated by the sensor.
  • FIG. 2 illustrates a method of correcting an impedance measured by a sensor that is included in the wearable device, according to an exemplary embodiment
  • FIGS. 3A and 3B illustrate a method of correcting an impedance measured by a sensor included in a wearable device, according to another exemplary embodiment
  • FIG. 4 illustrates an example a method of correcting an impedance measured by a sensor included in a wearable device, according to another exemplary embodiment
  • FIG. 5 is a flowchart of a method of correcting an impedance measured by a sensor included in the wearable device, according to another exemplary embodiment
  • FIG. 6 is a flowchart of a method of correcting an impedance measured by a sensor included in the wearable device, according to another exemplary embodiment.
  • FIG. 7 is a flowchart of a method of correcting an impedance measured by a sensor included in the wearable device, according to another exemplary embodiment.
  • a term ‘unit’ may refer to software or hardware components such as field programmable gate array (FPGA) or application-specific integrated circuit (ASIC). However, a “unit” is not limited to hardware or software. A “unit” may be included in a storage medium that may be addressed, or be one or more processors.
  • FPGA field programmable gate array
  • ASIC application-specific integrated circuit
  • a “unit” includes components such as software components, object-oriented software components, class components, task components, processes, functions, attributes, procedures, subroutines, segments of a program code, drivers, firmware, micro-codes, circuits, data, database, data structures, tables, arrays, variables, and the like.
  • functions provided in components or “units” may be combined into a smaller number of components or “units”, or separated into additional components or “units”.
  • FIG. 1 is a block diagram of an apparatus 100 for correcting an impedance measured by a sensor 120 included in a wearable device 110 , according to an exemplary embodiment.
  • the apparatus 100 includes a wearable device 110 and a photographing apparatus 140 .
  • the wearable device 110 may include a sensor 120 and a controller 130 .
  • the photographing apparatus 140 may include a camera module 150 and an processor 160 .
  • the wearable device 110 may be a smart watch and the photographing apparatus 140 may be smart glasses that are equipped with the camera module 150 .
  • FIG. 1 describes that the processor 150 is implemented in the photographing apparatus 140 , embodiments are not limited thereto.
  • the processor 150 may be implemented in the wearable device 110 so that the wearable device 110 includes the sensor 120 , the controller 130 , and the processor 160 .
  • the camera module 150 may photograph an image that includes the wearable device 110 and both arms of a user. Accordingly, the camera module 150 may photograph a moving picture that includes the wearable device 110 and both arms of the user while a hand of the user contacts the wearable device 110 and both arms of the user are moving.
  • the camera module 150 may photograph an image that includes the wearable device 110 and both elbow joints of the user. For example, if the user wears the wearable device 110 on the left wrist, the user may contact the wearable device 110 with the right hand. As another example, while the user contacts the wearable device 110 with the right hand, the camera module 150 may photograph an image that includes the wearable device 110 and both arms of the user.
  • the camera module 150 may photograph an image that includes the wearable device 110 and both arms of the user based on an input signal by the user. For example, if the user inputs a signal to the wearable device 110 to measure a body fat of the user, the wearable device 110 may transmit an input signal to the photographing apparatus 140 . When the photographing apparatus 140 receives the input signal, the camera module 150 included in the photographing apparatus 140 may photograph an image that includes the wearable device 110 and both arms of the user.
  • the processor 160 may measure an angle between straight lines respectively connecting the photographing apparatus 140 and both elbow joints, an angle between a straight line connecting the left elbow joint and the wearable device 110 and a straight line connecting the left elbow joint and the photographing apparatus 140 , an angle between a straight line connecting a right elbow joint and the wearable device 110 and a straight line connecting the right elbow joint and the photographing apparatus 140 , and an angle between straight lines respectively connecting the elbow joints and the wearable device 110 .
  • the processor 160 may measure an angle in consideration of a location of the camera module 150 . The processor 160 is described with reference to FIG. 2 .
  • FIG. 2 illustrates an example of a method of correcting an impedance measured by a sensor included in the wearable device 110 , according to an exemplary embodiment.
  • the processor 160 may measure an angle 200 between straight lines that respectively connect the wearable device 110 and both elbow joints of a user, using an image photographed by the camera module 150 .
  • the processor 160 may measure an angle 210 that is between a straight line connecting the left elbow joint and the wearable device 110 and a straight line connecting the left elbow joint and the camera module 150 , using an image photographed by the camera module 150 .
  • the processor 160 may measure an angle 220 between a straight line connecting a right elbow joint and the wearable device 110 and a straight line connecting the right elbow joint and the photographing apparatus, using an image photographed by the camera module 150 .
  • the processor 160 may measure an angle 230 between straight lines respectively connecting the camera module 150 and both elbow joints, using an image photographed by the camera module 150 .
  • the processor 160 may also measure a tilt angle 240 of the wrist which the wearable device 110 is put on.
  • the tilt angle 240 may refer to an angle of the wrist which is tilted sideways.
  • the sensor 120 shown in FIG. 1 is used in this example.
  • the sensor 120 may measure an impedance with respect to a wrist of a user. Additionally, the sensor 120 may repeatedly measure an impedance at a predetermined period of time. For example, the sensor may repeatedly measure an impedance of a user at a time period of 0.1 seconds. Additionally, the wearable device 110 may be equipped with one or more sensors 120 . For example, the wearable device 110 may measure an impedance of a user by using four sensors 120 .
  • the wearable device 110 and the camera module 140 may communicate with each other, for example, between the controller 130 and the processor 160 .
  • the wearable device 110 and the camera module 140 may each include at least one of a transmitter, a receiver, a transceiver, and the like, which may be used to perform communication.
  • the controller 130 may determine an impedance variation rate by using one or more of the measured angles. Additionally, the controller 130 may determine a variation rate of the impedance using variation rates of a predetermined impedance which correspond to the measured angles. An example of the predetermined impedance is described with reference to FIGS. 3A, 3B, and 4 .
  • FIGS. 3A and 3B illustrate an example of a method of correcting an impedance measured by a sensor included in the wearable device 110 , according to other exemplary embodiments.
  • the camera module 150 may photograph a moving picture that includes the wearable device 110 and both arms of the user while a hand of the user contacts the wearable device 110 .
  • the processor 160 may measure an angle between straight lines that respectively connecting the camera module 150 and both elbow joints, an angle between a straight line connecting the left elbow joint and the wearable device 110 and a straight line connecting the left elbow joint and the camera module 150 , an angle between a straight line connecting the right elbow joint and the wearable device 110 and a straight line connecting the right elbow joint and the camera module 150 , and an angle between straight lines respectively connecting the elbow joints and the wearable device 110 , by using the moving pictures photographed by the camera module 150 .
  • the processor 160 may measure an angle 300 between straight lines respectively connecting the elbow joints and the wearable device 110 , using pictures photographed by the camera module 150 .
  • the processor 160 may measure an angle 310 between a straight line connecting the left elbow joint and the wearable device 110 and a straight line connecting the left elbow joint and the camera module 150 , by using the moving pictures photographed by the camera module 150 .
  • the processor 160 may measure an angle 320 between a straight line connecting the right elbow joint and the wearable device 110 and a straight line connecting the right elbow joint and the camera module 150 , by using an image photographed by the camera module 150 .
  • the processor 160 may measure an angle 330 between straight lines respectively connecting the photographing apparatus and both elbow joints, by using the image photographed by the camera module 150 .
  • FIG. 3B illustrates a diagram of a situation in which the user moves both arms so that his/her hands approach the chest.
  • the processor 160 may measure an angle 340 between straight lines respectively connecting the elbow joints and the wearable device 110 , by using moving pictures photographed by the camera module 150 .
  • the processor 160 may measure an angle 350 between a straight line connecting the left elbow joint and the wearable device 110 and a straight line connecting the left elbow joint and the camera module 150 , by using the moving pictures photographed by the camera module 150 .
  • the processor 160 may measure an angle 360 between a straight line connecting the right elbow joint and the wearable device 110 and a straight line connecting the right elbow joint and the camera module 150 , by using an image photographed by the camera module 150 .
  • the processor 160 may measure an angle 370 between straight lines respectively connecting the photographing apparatus and both elbow joints, by using an image photographed by the camera module 150 .
  • the senor 120 may consecutively measure an impedance of a user when the sensor 120 is in contact with a wrist of the user while the user moves from a position shown in FIG. 3A to the position shown in FIG. 3B .
  • the controller 130 may set impedance variation rates that correspond to respective measured angles by using the measured impedance that respectively correspond to the measured angles. An example of the impedance variation rate is described with reference to FIG. 4 .
  • FIG. 4 illustrates an example of a table including an impedance variation rate 410 according to the angle 200 between straight lines respectively connecting the elbow joints and the wearable device 110 , the angle 210 between a straight line connecting the left elbow joint and the wearable device 110 and a straight line connecting the left elbow joint and the camera module 150 , the angle 220 between a straight line connecting the right elbow joint and the wearable device 110 and a straight line connecting the right elbow joint and the camera module 150 , and the angle 230 between straight lines respectively connecting the camera module and both elbow joints.
  • the controller 130 may determine the impedance variation rate 410 as being equal to a variable of 0.8.
  • the controller 130 may determine the impedance variation rate 410 as being equal to 0.6.
  • the controller 130 may determine the impedance variation rate 410 as being equal to 0.4.
  • angle 210 between a straight line connecting the left elbow joint and the wearable device 110 and a straight line connecting the left elbow joint and the camera module 150 and the angle 220 between a straight line connecting the right elbow joint and the wearable device 110 and a straight line connecting the right elbow joint and the camera module 150 are great, the user stretches the arm in approximately a straight line, and thus, an impedance variation rate is small. This is created because a measured impedance increases when a user bends his arms.
  • the table of FIG. 4 describes that the impedance variation rate 410 is determined by a combination of the four angles 200 , 210 , 220 , and 230 .
  • the impedance variation rates 410 may be determined based only on the angle 200 between straight lines respectively connecting the elbow joints and the wearable device 110 .
  • the table may further include information indicating a impedance variation rate that corresponds to the tilt angle 240 of the wrist.
  • the controller 130 may correct an impedance using the determined impedance variation rate. For example, if an impedance measured by the sensor 120 is 10 ⁇ (ohm) and the determined impedance variation is 0.4, the controller 130 may correct the impedance to be equal to 4 ⁇ by multiplying the impedance by the impedance variation rate. In this example, the controller 130 may determine a variation rate of the impedance by using a predetermined relation between a measured angle and a variation rate of the impedance. For example, the controller 130 may perform a function for obtaining or generating a variation rate using a relation between the four angles 200 through 230 .
  • the controller 130 may determine a variation rate of the impedance by inputting the four angles 200 through 230 as four variables of a function f(a,b,c,d).
  • the controller 130 may measure body fat of the user by using the corrected impedance.
  • the controller 130 may adjust the corrected impedance based on quality of a contact between the wearable device 110 and the user.
  • the sensor 120 may provide information indicating the quality of the contact by detecting an actual contact area where the wearable device 110 is actually contacted with the user.
  • the controller 130 may determine the quality of the contact based on a maximum contact area of the wearable device 110 and the actual contact area.
  • FIG. 5 is a flowchart illustrating a method of correcting an impedance measured by a sensor included in a wearable device, according to an exemplary embodiment.
  • the method of correcting an impedance measured by the sensor 120 included in the wearable device 110 includes operations that are processed in a time series by the apparatus 100 for correcting an impedance which is shown in FIG. 1 . Accordingly, it should be understood that descriptions provided with regard to the apparatus 100 shown in FIG. 1 may also apply to the method described in the example with reference to FIG. 5 , even though the descriptions are not provided here again.
  • an angle between straight lines respectively connecting a camera module and both elbow joints an angle between a straight line connecting the left elbow joint and the wearable device and a straight line connecting the left elbow joint and the camera module, an angle between a straight line connecting the right elbow joint and the wearable device and a straight line connecting the right elbow joint and the camera module, and an angle between straight lines respectively connecting the elbow joints and the wearable device are measured using the photographed image.
  • an impedance of the user is measured when a wrist of the user is in contact with the sensor included in the wearable device.
  • an impedance variation rate is determined by using the measured angle.
  • the impedance is corrected using the determined impedance variation rate.
  • FIG. 6 is a flowchart of a method for correcting an impedance measured by a sensor included in a wearable device, according to an exemplary embodiment.
  • the method of correcting an impedance, for example, measured by the sensor 120 included in the wearable device 110 includes operations that are processed in a time series by the apparatus 100 for correcting an impedance as shown in FIG. 1 . Accordingly, it should be understood that the exemplary embodiments that are provided with regard to the apparatus 100 shown in FIG. 1 , may also apply to the example of the method described with reference to FIG. 6 , even though the descriptions are not provided here again.
  • an angle between straight lines respectively connecting a camera module and both elbow joints an angle between a straight line connecting the left elbow joint and the wearable device and a straight line connecting the left elbow joint and the camera module, an angle between a straight line connecting the right elbow joint and the wearable device and a straight line connecting the right elbow joint and the camera module, and an angle between straight lines respectively connecting the elbow joints and the wearable device is measured using the photographed image.
  • an impedance of the user is measured when a wrist of the user is in contact with the sensor included in the wearable device.
  • a variation rate of the impedance is determined using a variation rate of the predetermined impedance which corresponds to the measured angle.
  • the impedance may be corrected by using the determined variation rate of the impedance.
  • FIG. 7 is a flowchart of a method of correcting an impedance measured by a sensor included in a wearable device, according to another embodiment.
  • the method of correcting an impedance measured by the sensor 120 included in the wearable device 110 includes operations that are processed in a time series by the apparatus 100 for correcting an impedance which is shown in FIG. 1 . Accordingly, it should be understood that descriptions provided with regard to the apparatus 100 shown in FIG. 1 may be apply to the method described with reference to FIG. 7 , even though the description are not provided here again.
  • an image that includes the wearable device and both arms of a user may be photographed.
  • an angle between straight lines respectively connecting a camera module and both elbow joints an angle between a straight line connecting the left elbow joint and the wearable device and a straight line connecting the left elbow joint and the camera module, an angle between a straight line connecting the right elbow joint and the wearable device and a straight line connecting the right elbow joint and the camera module, and an angle between straight lines respectively connecting the elbow joints and the wearable device are measured using the photographed image.
  • an impedance the user is measured when a wrist of the user is in contact with the sensor included in the wearable device.
  • a variation rate of the impedance is determined by using a predetermined relation between the measured angle and the variation rate of the impedance.
  • the impedance is corrected by using the determined variation rate of the impedance.
  • inventions of the inventive concept can also be implemented through computer-readable code/instructions in/on a medium, e.g., a computer-readable medium, to control at least one processing element to implement any above described embodiment.
  • a medium e.g., a computer-readable medium
  • the medium can correspond to any medium/media permitting the storage and/or transmission of the computer-readable code.
  • the computer-readable code can be recorded/transferred on a medium in a variety of ways, with examples of the medium including recording media, such as magnetic storage media (e.g., ROM, floppy disks, hard disks, etc.) and optical recording media (e.g., CD-ROMs, or DVDs), and transmission media such as Internet transmission media.
  • the medium may be such a defined and measurable structure including or carrying a signal or information, such as a device carrying a bitstream according to one or more embodiments of the inventive concept.
  • the media may also be a distributed network, so that the computer-readable code is stored/transferred and executed in a distributed fashion.
  • the processing element could include a processor or a computer processor, and processing elements may be distributed and/or included in a single device.
  • Embodiments may be described in terms of functional block components and various processing steps. Such functional blocks may be realized by any number of hardware and/or software components configured to perform the specified functions. For example, embodiments may employ various integrated circuit components, e.g., memory elements, processing elements, logic elements, look-up tables, and the like, which may carry out a variety of functions under the control of one or more microprocessors or other control devices. Similarly, where the elements of the inventive concept are implemented using software programming or software elements the inventive concept may be implemented with any programming or scripting language such as C, C++, Java, assembler, or the like, with the various algorithms being implemented with any combination of data structures, objects, processes, routines or other programming elements. Functional aspects may be implemented via algorithms executed by one or more processors.
  • embodiments could employ any number of conventional techniques for electronics configuration, signal processing and/or control, data processing and the like.
  • the words “mechanism” and “element” are used broadly and are not limited to mechanical or physical embodiments, but can include software routines in conjunction with processors, etc.
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